Handwritten digit segmentation: a comparative study

Author:

Ribas F. C.,Oliveira L. S.,Britto A. S.,Sabourin R.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Software

Reference23 articles.

1. Britto A.S., Sabourin R., Bortolozzi F., Suen C.Y.: The recognition of handwritten numeral strings using a two-stage HMM-based method. IJDAR 5, 102–117 (2003)

2. Casey R., Lecolinet E.: A survey of methods and strategies in character segmentation. IEEE Trans. PAMI 18(7), 690–706 (1996)

3. Chen Y.K., Wang J.F.: Segmentation of single- or multiple-touching handwritten numeral string using background and foreground analysis. IEEE Trans. Pattern Anal. Mach. Intell. 22(11), 1304–1317 (2000)

4. Cheriet, M., Huang, Y.S., Suen, C.Y.: Background region based algorithm for the segmentation of connected digits. In: Proceedings of the 11th International Conference on Pattern Recognition, pp. 619–622 (1992)

5. Choi, S., Oh, I.: A segmentation-free recognition of two touching numerals using neural networks. In: Proceedings of 5th International Conference on Document Analysis and Recognition (ICDAR), pp. 253–256, Bangalore, India (1999)

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